Silvia Coco

41 papers receiving 2.6k citations

Peers

Silvia Coco
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 228
  • Physiology 216
  • Cell Biology 729
  • Neurology 344
Replace Anton Maximov with:
Anton Maximov United States
Zu-Hang Sheng United States
Matjaž Stenovec Slovenia
Elena Pravettoni Italy
Roger Janz United States
Silvia Giovedı̀ Italy
Sonja M. Wojcik Germany
Clarissa L. Waites United States
Felix E. Schweizer United States
Susan M. Voglmaier United States
Silvia Coco relative to Anton Maximov United States Anton Maximov's profile →
Citations per field
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Anton Maximov · 1×
Citations per year

Countries citing papers authored by Silvia Coco

Since Specialization
Citations

This map shows the geographic impact of Silvia Coco's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silvia Coco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Coco more than expected).

Fields of papers citing papers by Silvia Coco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Coco. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silvia Coco. The network helps show where Silvia Coco may publish in the future.

Co-authors

The 25 scholars most cited alongside Silvia Coco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvia Coco Line = papers co-authored together Silvia Coco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003403
2 2020192
3 2004181
4 2001134
5 2001129
6 1999128
7 2019107
8 2001101
9 1996100
10 199993
11 199785
12 199984
13 200682
14 200068
15 200563
16 199958
17 200258
18 199555
19 199953
20 201947

About Silvia Coco

Silvia Coco is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Neurology and Neurology, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), MicroRNA in disease regulation (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (228 citations), Physiology (216 citations), Cell Biology (729 citations) and Neurology (344 citations). Silvia Coco has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Michela Matteoli, Claudia Verderio, Elena Pravettoni, Davide Pozzi, Elena Taverna, Patrizia Rosa, Federico Calegari, Ornella Rossetto, Ursula Schenk and Alberto Bacci. Their work appears in journals such as Journal of Neuroscience, International Journal of Molecular Sciences, Journal of Biological Chemistry, Journal of Neurochemistry and Journal of Molecular Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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